Agriculture data sharing: Conceptual tools in the technical toolbox and implementation in the Open Ag Data Alliance framework

Agriculture data sharing: Conceptual tools in the technical toolbox and implementation in the Open Ag Data Alliance framework
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农业数据共享:技术工具箱中的概念工具以及开放农业数据联盟框架中的实施

DOI:
10.1002/agj2.21007
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发表时间:
2022
期刊:
影响因子:
2.1
通讯作者:
Evans, John
Evans, John
中科院分区:
农林科学3区
文献类型:
--
作者:
Ault, Aaron;Palacios, Servio;Evans, John

文献摘要

相似文献

数据隐私已成为农业和食品行业的一个关键问题。数据到信息的实时转换已被证明对该行业具有令人难以置信的价值,但通常需要与数据所有者控制之外的软件、平台、客户和监管机构共享数据。虽然这一领域的许多工作都集中在对数据隐私的法律保护上,但对支持不同共享模式的技术架构的研究较少。本文定义了一些“工具箱中的工具”,用于设计对技术和非技术受众都可访问的系统,以及使用开放农业数据联盟(OADA)框架的几个“共享设计模式”。这些工具和模式有助于分类和理解农业中现有和未来的数据流及其对隐私的影响。
Data privacy has become a critical issue within the agriculture and food industry. The real‐time conversion of data to information has been shown to be incredibly valuable to the industry but often requires sharing data with software, platforms, customers, and regulators outside the data owner's control. While much work in this area has focused on legal protections for data privacy, less has been devoted to technical architectures to support different sharing models. This paper defines some “tools in the toolbox” for designing such systems that are accessible to both technical and nontechnical audiences as well as several “sharing design patterns” using the Open Ag Data Alliance (OADA) framework. These tools and patterns are helpful in classifying and understanding both existing and future data flows in agriculture and their privacy implications.